Big present on February

Certificate from Harvard University. Yeay!

Here it is :

How to lose, maintain, and gain your weight wisely?

Hi, buddies!

I took some courses at coursera.org. One of them is Nutrition class from University of California, San Fransisco (UCSF). Ms. Katie Ferraro is my lecturer in this class. She teaches us very well.

I'm interested in one topic about determining individual nutrient needs. If you want to lose your weight, you only need 20-25 kcal per kg body weight. In maintaining weight, 25-30 kcal per kg body weight is needed. But, for people who want to gain weight, they need 30-35 kcal per kg body weight. Upper end of range is used if you're physical active. Otherwise, lower end of range is for people who don't do any physical activity. 

As we know, macronutrient play an important role to give us calories, i.e. carbohydrate, fat, and protein. Carbohydrate, fat, and protein yield 4 kcal/gram, 9 kcal/gram, and 4 kcal/gram, respectively. Here is the table about macronutrient distribution ranges in every stage of people's life.

So, how can we calculate our nutrient needs? Let me try to make you understand by giving a case. For example : Rina (37 years old) is the woman who suffer from diabetes mellitus. Her body weight is 80 kg. She has days with no exercise. She must reduce her weight in order to meet the goal of diabetes mellitus treatment. So, how much carbohydrate, fat, and protein that she needs per day?

In losing weight => 20-25 kcal/kg

Since she is not physical active => 20 kcal/kg

Then multiply by her weight => 20 kcal/kg x 80 kg = 1600 kcal

For her, let me use the macronutrients proportion: carbohydrate 55%, fat 25%, and protein 20%. So?

Carbohydrate =>  55% x 1600 kcal = 880 kcal => 880 kcal : 4 kcal/gram = 220 gram per day

Fat => 25% x 1600 kcal = 400 kcal => 400 kcal : 9 kcal/gram = 45 gram per day

Prorein => 20% x 1600 kcal = 320 kcal => 320 kcal : 4 kcal/gram = 80 gram per day

As you see, what a fascinating class it is! :D For further information regarding this nutrition class, please visit coursera official website.

Annyonghi-geseyo!

Final exam was DONE!

Final exam for my PH207x course has come. I tried my best and my total score was 93% :) Thank you for Prof. Marcello Pagano and Prof. Francis E. Cook as my lecturer. Hope we'll meet again in the next course.

Getting STATA in my online course

It seems like a long time no see my blog and write on it :) Now, I want to share about my online course at edX. I have been through almost 4-week of that course. For my opinion, the course is really good at all. It talks about biostatistics in clinical and public health research. As a student in that course, I should use STATA for analyzing the data. It's a little bit difficult for me as I always use SPSS on my daily work.

STATA is obviously different from SPSS. In STATA, we should type the command to run the analysis. So, we must know the coding of the command. It's the hardest point to learn it more. But, in SPSS, we only click and click the button to do some analysis. On the other side, commanding in STATA is more flexible to do some further analysis than SPSS. We just need modification on the command.

 

Apart from the difficulties to learn coding of the command in STATA, I'm quite eager to learn more on it.  Perhaps I can pass the passing grade in that online course smoothly with a good score in all problem sets. Break a leg for me! :D See you on the next post.

Free online courses from leading universities

I already have registered at online courses which be provided by edX. The edX is a not-for-profit enterprise of its founding partners Harvard University and the Massachusetts Institute of Technology that features learning designed specifically for interactive study via the web. It provides many courses such introductory to solid state chemistry, circuit and electronics, introduction to computer science 1, introduction to computer science and programming, software as a service, artificial intellegence, and quantitative methods in clinical and public health course.

I took quantitative methods in clinical and public health course (PH207x). It will be started on October 15th, 2012. This course can be helpful for me as a pharmacist to get better understanding in clinical data analysis. Beside the course is free, it also give us certificate of mastery for free. Certificate will be given if we achieve the passing grade in the course. The course is organized into weeks, and each week will have its own set of assignments. Students will be expected to complete their homework each week. This course is flexible in time. We can watch the lectures at our leisure. Lecturers for PH207x come from Harvard University, i.e. Prof. E. Francis Cook and Prof. Marcello Pagano. I think it will be good and fun :) So, come and join us, guys!

Aside from getting the wonderful knowledge, we can also meet the other professional practitioners from other countries in discussion group. The edX create a discussion group via http://www.meetup.com/edX-Community/. It's really excited for me to start this course soon ;) If you want to have further information, please visit the edX website at https://www.edx.org/courses.

See you on the next post. Hope this post will be useful for you :)